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Paper detail

Statistical learning for sensor localization in wireless networks

Indoor localization has become an important issue for wireless sensor networks. This paper presents a zoning-based localization technique that uses WiFi signals and works efficiently in indoor environments. The targeted area is composed of several zones, the objective being to determine the zone of the sensor using an observation model based on statistical learning.

preprint2020arXivOpen access
Daniel AlshamaaFarah ChehadePaul Honeine
eess.SPMachine Learning
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Daniel AlshamaaFarah ChehadePaul Honeine

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